The focus on innovation has increased over the past few years due to its established role as an engine of economic growth, as well as its rising contribution in fostering sustainable development. By using the number of patent applications to measure innovation activity, the paper identifies a set of variables influencing innovation and quantifies their spatial spillover effects within Italian provinces in the period from 2010 to 2017. Panel data models are extended with spatial data estimation techniques to assess the innovation patterns over time under the assumption of global spillover effects. As a result of the study, a wide range of factors contributes to local innovation capacity, from education levels to institutional characteristics, from economic resources to productive structure, as well as the externalities associated with agglomeration economies.
An integrated space-time model to evaluate the innovation drivers in Italy
Emma Bruno;Rosalia Castellano;Gennaro Punzo
2023-01-01
Abstract
The focus on innovation has increased over the past few years due to its established role as an engine of economic growth, as well as its rising contribution in fostering sustainable development. By using the number of patent applications to measure innovation activity, the paper identifies a set of variables influencing innovation and quantifies their spatial spillover effects within Italian provinces in the period from 2010 to 2017. Panel data models are extended with spatial data estimation techniques to assess the innovation patterns over time under the assumption of global spillover effects. As a result of the study, a wide range of factors contributes to local innovation capacity, from education levels to institutional characteristics, from economic resources to productive structure, as well as the externalities associated with agglomeration economies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
